Linguistic expressions must be decrypted if they are to transmit information. Thoughts need not be decrypted if they are to transmit information. Therefore thought-processes do not consist of linguistic expressions: thought is not linguistic. A consequence is that thought is not computational, given that a computation is the operationalization of a function that assigns one expression to some other expression (or sequence of expressions).

This paper shows that Russell’s theory of descriptions gives the wrong se-mantics for definite descriptions occurring in questions and imperatives. Depending on how that theory is applied, it either assigns nonsense to per-fectly meaningful questions and assertions or it assigns meanings that di-verge from the actual semantics of such sentences, even after all pragmatic and contextual variables are allowed for. Given that Russell’s theory is wrong for questions and assertions, it must be wrong for assertoric state-ments; for the semantics of (...) ‘the phi’ obviously doesn’t vary depending on whether it occurs in a question or an assertion or a command. (shrink)

According to the computational theory of mind , to think is to compute. But what is meant by the word 'compute'? The generally given answer is this: Every case of computing is a case of manipulating symbols, but not vice versa - a manipulation of symbols must be driven exclusively by the formal properties of those symbols if it is qualify as a computation. In this paper, I will present the following argument. Words like 'form' and 'formal' are ambiguous, as (...) they can refer to form in either the syntactic or the morphological sense. CTM fails on each disambiguation, and the arguments for CTM immediately cease to be compelling once we register that ambiguity. The terms 'mechanical' and 'automatic' are comparably ambiguous. Once these ambiguities are exposed, it turns out that there is no possibility of mechanizing thought, even if we confine ourselves to domains where all problems can be settled through decision-procedures. The impossibility of mechanizing thought thus has nothing to do with recherché mathematical theorems, such as those proven by Gödel and Rosser. A related point is that CTM involves, and is guilty of reinforcing, a misunderstanding of the concept of an algorithm. (shrink)

One cannot have the concept of a red object without having the concept of an extended object. But the word "red" doesn't contain the word "extended." In general, our concepts are interconnected in ways in which the corresponding words are not interconnected. This is not an accidental fact about the English language or about any other language: it is inherent in what a language is that the cognitive abilities corresponding to a person's abilities to use words cannot possibly be reflected (...) in semantic relations holding among those words. This fact in its turn is a consequence of the fact that expressions are, whereas concepts are not, digital structures, for which reason the ways in which cognitive abilities interact cannot possibly bear any significant resemblance to the ways in which expressions interact. Consequently, there is no truth to the contention that our thought-processes are identical with, or bear any resemblance to, the digital computations that mediate computer-activity. (shrink)

A brief but rigorous description of the logical structure of mathematical truth.

"Jim would still be alive if he hadn't jumped" means that Jim's death was a consequence of his jumping. "x wouldn't be a triangle if it didn't have three sides" means that x's having a three sides is a consequence its being a triangle. Lewis takes the first sentence to mean that Jim is still alive in some alternative universe where he didn't jump, and he takes the second to mean that x is a non-triangle in every alternative universe where (...) it doesn't have three sides. Why did Lewis have such obviously wrong views? Because, like so many of his contemporaries, he failed to grasp the truth that it is the purpose of the present paper to demonstrate, to wit: No coherent doctrine assumes that statements about possible worlds are anything other than statements about the dependence-relations governing our world. The negation of this proposition has a number of obviously false consequences, for example: all true propositions are necessarily true (there is no modal difference between "2+2=4" and "Socrates was bald"); all modal terms (e.g. "possible," "necessary") are infinitely ambiguous; there is no difference between laws of nature (e.g. "metal expands when heated") and accidental generalizations (e.g. "all of the coins in my pocket are quarters"); and there is no difference between the belief that 1+1=2 and the belief that arithmetic is incomplete. Given that possible worlds are identical with mathematical models, it follows that the concept of model-theoretic entailment is useless in the way of understanding how inferences are drawn or how they should be drawn. Given that the concept of formal-entailment is equally useless in these respects, it follows that philosophers and mathematicians have simply failed to shed any light on the nature of the consequence-relation. Q's being either a formal or a model-theoretic consequence of P is parasitic on its bearing some third, still unidentified relation to P; and until this relation has been identified, the discipline of philosophical logic has yet to begin. (shrink)

In order to understand a sentence, one must know the relevant semantic rules. Those rules are not learned in a vacuum; they are given to one through one's senses. As a result, knowledge of semantic rules sometimes comes bundled with semantically irrelevant, but cognitively non-innocuous, knowledge of the circumstances in which those rules were learned. Thus, one must work through non-semantic information in order to know what is literally meant by a given sentence-token. A consequence is that one's knowledge of (...) what is literally meant by a given sentence-token is sometimes embedded in non-semantic knowledge, resulting in a cleavage between what that sentence-token literally means and what the auditor in question takes it to mean. Such deviations obviously have nothing to do with the principles put forth by Grice, since those principles only concern sentence-tokens that have already been understood---since, to put it another way, those principles only concern post-semantic implicature. The just-described deviations are appropriately described as being due to "pre-semantic implicature." Given the phenomenon of pre-semantic implicature, it is easily shown that Russell's Theory of Descriptions, if taken as a theory of literal meaning, is false. In the present volume, these rather elementary principles are entirely ignored, and all of the articles in it are sterile repetitions of the points made by Russell and Strawson. The blinkered approach to language embodied in this volume must be reconsidered in light of psychological principles relating to language-acquisition and language-use. Unfortunately, analytic philosophers shy away from such topics, as is made clear by the papers in this grim volume. (shrink)

On the basis of arguments put forth by (Kripke, 1977a) and (Kripke, 1980), it is widely held that one can sometimes rationally accept propositions of the form "P and not-P" and also that there are necessary a posteriori truths. We will find that Kripke's arguments for these views appear probative only so long as one fails to distinguish between semantics and presemantics—between the literal meanings of sentences, on the one hand, and the information on the basis of which one identifies (...) those literal meanings, on the other. This same failure, it will be argued, underlies the popular thesis that intersubstituting co-referring terms sometimes turns true sentences into false ones and vice versa. Though seemingly plausible, this thesis has a number of counterintuitive consequences, among them that the occurrence of “snow” in “it is true that snow is white” doesn’t refer to snow. An understanding of the distinction between semantics and presemantics suggests a way to develop a semantic system that doesn’t have these consequences and that, moreover, reconciles our intuitions concerning cognitive content with some powerfully argued theses of contemporary philosophy of language. Some of this paper's main contentions are anticipated by Andrzej Boguslawski in his 1994 paper “Sentential Complementation and Truth.”. (shrink)

Ordinarily counterfactuals are seen as making statements about states of affairs, albeit ones that hold in merely possible or alternative worlds. Thus analyzed, nearly all counterfactuals turn out to be incoherent. Any counterfactual, thus analyzed, requires that there be a metaphysically (not just epistemically) possible world w where the laws are the same as here, and where almost all of the facts are the same as here. (The factual differences relate to the antecedent and consequent of the counter-factual.) But, as (...) I show, this requirement typically involves the positing of worlds whose necessary non-existence can be shown by fairly elementary deductions. Further, the possible-worlds analysis of counterfactuals is guilty of covert circularity. For, thus analyzed, counterfactuals can only be understood in terms of laws of nature (the laws that apply here are assumed in the hypothetical world - except in the atypical case where the counterfactual is also a counter-nomic). But the concept of a law cannot itself be defined except in terms of the notion of a counterfactual (a law is given by a counterfactual-supporting proposition). I give a purely epistemic analysis of counterfactuals, arguing that they are crypto-probability propositions. I also argue that the relevant kind of probability can be defined wholly in terms of what has happened (not what would happen and not even what must happen in a nomic sense). So my analysis isn’t guilty of any kind of circularity. (shrink)

A series of representations must be semantics-driven if the members of that series are to combine into a single thought: where semantics is not operative, there is at most a series of disjoint representations that add up to nothing true or false, and therefore do not constitute a thought at all. A consequence is that there is necessarily a gulf between simulating thought, on the one hand, and actually thinking, on the other. A related point is that a popular doctrine (...) - the so-called 'computational theory of mind' (CTM) - is based on a confusion. CTM is the view that thought-processes consist in 'computations', where a computation is defined as a 'form-driven' operation on symbols. The expression 'form-driven operation' is ambiguous, as it may refer either to syntax-driven operations or to morphology-driven operations. Syntax-driven operations presuppose the existence of operations that are driven by semantic and extra-semantic knowledge. So CTM is false if the terms 'computation' and 'form-driven operation' are taken to refer to syntax-driven operations. Thus, if CTM is to work, those expressions must be taken to refer to morphology-driven operations. CTM therefore fails, given that an operation must be semantics-driven if it is to qualify as a thought. CTM therefore fails on each possible disambiguation of the expressions 'formal operation' and 'computation,' and it is therefore false. (shrink)

The semantic rules governing natural language quantifiers (e.g. "all," "some," "most") neither coincide with nor resemble the semantic rules governing the analogues of those expressions that occur in the artificial languages used by semanticists. Some semanticists, e.g. Peter Strawson, have put forth data-consistent hypotheses as to the identities of the semantic rules governing some natural-language quantifiers. But, despite their obvious merits, those hypotheses have been universally rejected. In this paper, it is shown that those hypotheses are indeed correct. Moreover, data-consistent (...) hypotheses are put forth as to the identities of the semantic rules governing the words "most" and "many," the semantic rules governing which semanticists have thus far been unable to identify. The points made in this paper are anticipated in a paper, published in the same issue of the Journal of Pragmatics, by Andrzej Boguslawski. (shrink)

Sense-perceptions do not have to be deciphered if their contents are to be uploaded, the reason being that they are presentations, not representations. Linguistic expressions do have to be deciphered if their contents are to be uploaded, the reason being that they are representations, not presentations. It is viciously regressive to suppose that information-bearing mental entities are categorically in the nature of representations, as opposed to presentations, and it is therefore incoherent to suppose that thought is mediated by expressions or, (...) therefore, by linguistic entities. Attempts to neutralize this criticism inevitably overextend the concept of what it is to be a linguistic symbol, the result being that such attempts eviscerate the very position that it is their purpose to defend. Also, it is inherent in the nature of such attempts that they assume the truth of the view that for a given mental entity to bear this as opposed to that information is for that entity to have this as opposed to that causal role. This view is demonstrably false, dooming to failure the just-mentioned attempts to defend the contention that thought is in all cases mediated by linguistic symbols. (shrink)

The meaning of morpheme (a minimal unit of linguistic significance) cannot diverge from what it is taken to mean. But the meaning of a complex expression can diverge without limit from what it is taken to mean, given that the meaning of such an expression is a logical consequence of the meanings of its parts, coupled with the fact that people are not infallible ratiocinators. Nonetheless, given Chomsky’s distinction between competence (ability) and performance (ability to deploy ability), what a complex (...) expression means does, after a fashion, coincide with what it is taken to mean: to the extent that speaker-performance approximates to speaker-competence---i.e. to the extent that people are able to operationalize their linguistic competence---what speakers take complex expressions to mean coincides with they in fact mean; and herein lies an answer to the question “what is linguistic meaning?” that holds with respect to both simple and complex expressions. (shrink)

A person with one dollar is poor. If a person with n dollars is poor, then so is a person with n + 1 dollars. Therefore, a person with a billion dollars is poor. True premises, valid reasoning, a false a conclusion. This is an instance of the Sorites-paradox. (There are infinitely many such paradoxes. A man with an IQ of 1 is unintelligent. If a man with an IQ of n is unintelligent, so is a man with an IQ (...) of n+1. Therefore a man with an IQ of 200 is unintelligent.) Most attempts to solve this paradox reject some law of classical logic, usually the law of bivalence. I show that this paradox can be solved while holding on to all the laws of classical logic. Given any predicate that generates a Sorites-paradox, significant use of that predicate is actually elliptical for a relational statement: a significant token of "Bob is poor" means that Bob is poor compared to x, for some value of x. Once a value of x is supplied, a definite cutoff line between having and not having the paradox-generating predicate is supplied. This neutralizes the inductive step in the associated Sorites argument, and the would-be paradox is avoided. (shrink)

Contemporary philosophy and theoretical psychology are dominated by an acceptance of content-externalism: the view that the contents of one's mental states are constitutively, as opposed to causally, dependent on facts about the external world. In the present work, it is shown that content-externalism involves a failure to distinguish between semantics and pre-semantics---between, on the one hand, the literal meanings of expressions and, on the other hand, the information that one must exploit in order to ascertain their literal meanings. It is (...) further shown that, given the falsity of content-externalism, the falsity of the Computational Theory of Mind (CTM) follows. It is also shown that CTM involves a misunderstanding of terms such as "computation," "syntax," "algorithm," and "formal truth." Novel analyses of the concepts expressed by these terms are put forth. These analyses yield clear, intuition-friendly, and extensionally correct answers to the questions "what are propositions?, "what is it for a proposition to be true?", and "what are the logical and psychological differences between conceptual (propositional) and non-conceptual (non-propositional) content?" Naively taking literal meaning to be in lockstep with cognitive content, Burge, Salmon, Falvey, and other semantic externalists have wrongly taken Kripke's correct semantic views to justify drastic and otherwise contraindicated revisions of commonsense. (Salmon: What is non-existent exists; at a given time, one can rationally accept a proposition and its negation. Burge: Somebody who is having a thought may be psychologically indistinguishable from somebody who is thinking nothing. Falvey: somebody who rightly believes himself to be thinking about water is psychologically indistinguishable from somebody who wrongly thinks himself to be doing so and who, indeed, isn't thinking about anything.) Given a few truisms concerning the differences between thought-borne and sentence-borne information, the data is easily modeled without conceding any legitimacy to any one of these rationality-dismantling atrocities. (It thus turns out, ironically, that no one has done more to undermine Kripke's correct semantic points than Kripke's own followers!). (shrink)

Philosophy is the science of the science; it is the analysis of the assumptions underlying empirical inquiry. Given that these assumptions cannot possibly be examined or even identified on the basis of empirical data, it follows that philosophy is a non-empirical discipline. And given that our linguistic and cultural practices cannot possibly be examined or even identified except on the basis of empirical data, it follows that philosophical questions are not linguistic questions and do not otherwise concern our conventions or (...) our cultural practices. This entails that philosophical truths are not tautologous or otherwise trivial. It also entails that empiricism is false and, therefore, that Platonism is correct. Given a clear understanding of why Platonism is correct and of what this implies, a number of shibboleths of contemporary analytic philosophy are speedily demolished and are no less speedily replaced with independently corroborated and intuitively plausible alternatives. New answers are given to age-old questions concerning scientific explanation, causal and logical dependence, linguistic meaning, personal identity, the structure of the psyche, and the nature of personal responsibility. Existing answers to these question are thoroughly considered and duly extended, modified, or replaced. Every technical term is defined; every philosophy-specific concept is explained; and the positions defended are consistent with commonsense, so far as their being consistent with the relevant data allows them to be. Therefore, this book is intelligible to philosophically minded laymen. At the same time, it is appropriate for advanced scholars, given that it defends original viewpoints and given also that, even though it discusses old viewpoints, it does so in new ways. Because it is clearly written, it is intelligible to neophytes; but it is not an introductory text and it is not a textbook. There are two appendices: the first, a thorough exposition of the rudiments of formal logic, along with the conceptual underpinnings of that discipline; the second, a definition and analytic discussion of each technical term that occurs in the text. Most of the chapters are followed by study-questions and by practice tests. (shrink)

In this work, it is shown that given a correct understanding of the nature of reference and of linguistic meaning generally, it is possible to produce non-revisionist analyses of the nature of -/- *Perceptual content, *Mental content generally, *Logical equivalence, *Logical dependence generally, *Counterfactual truth, *The causal efficacy of mental states, and *Our knowledge of ourselves and of the external world. -/- In addition, set-theoretic interpretations of several semantic concepts are put forth. These concepts include truth, falsehood, negation, and conjunction.

It is argued (a) that laws are assurances of protections of rights and (b) that governments are protectors of rights. Lest those assurances be empty and thus not really be assurances at all, laws must be enforced and governments must therefore have the power to coerce. For this reason, the government of a given region tends to have, as Max Weber put it, a "monopoly on power" in that region. And because governments are power-monopolizers, it is tempting to think that (...) the concepts of government and law are to be understood in terms of the concept of power. In actuality, the first two concepts are to be understood primarily in terms of the concept of morality--of rights-protection, to be specific--and only secondarily in terms of the concept of power. Contentions (a) and (b) appear to be inconsistent with obvious facts (e.g. the fact that Pol Pot's regime violated the rights of those over whom it had power). But (a) and (b) are compatible with those facts. This is a consequence of two principles. First, moral requirements have a "dimension of weight," as Dworkin put it, meaning that one moral imperative can be outweighed, without being obliterated, by another moral imperative. Second, sentential operators can have different degrees of scope. "It is hereby assured that" is such an operator. Linguistic surface structure may obfuscate the degree of scope that it has in a given sentence. That fact compatibilizes our analysis with the fact that there are evil laws and evil governments. (shrink)

Solutions to ninety paradoxes, some old, some new.

Short papers on OCD, philosophy, psychopathy, psychopathology generally, and their interrelations.

In the first part of this two-part work, the economics of higher education are explained. It is made clear how a university’s business model differs from that of a company that has to compete on the open market. On this basis, it is explained: -/- (i)Why universities are in no way threatened by low retention-rates and graduation-rates; (ii)Why universities cannot significantly improve or otherwise alter the quality of their educational services without imperiling their very existences; (iii)Why universities do not have (...) to improve the quality of their educational services; (iv)Why universities couldn’t improve the quality of their services even if they wanted to; (v)Why the fact that many universities have low retention- and graduation-rates does not a represent a business opportunity, or opportunity of any other kind, for anyone, whether inside or outside of academia; and (vi)Why principles of Knowledge Management (KM) that are so useful when it comes to helping businesses that compete on the open market are completely useless, and indeed of negative utility, when it comes to helping universities solve their problems. -/- In the second part of this work, it is explained how to construct an online university that is both lucrative and also provides instruction that is faster, better, cheaper, and more useful than the instruction provided by any existing (or possible) brick-and-mortar university. Finally, it is explained how the principles of KM can be used to optimize such a university, once it is up and running. (shrink)